Robust, secure and Optimized Acknowledge based Data Transmission for Wireless Sensor Networks (WSN)

  IJCTT-book-cover
 
International Journal of Computer Trends and Technology (IJCTT)          
 
© 2015 by IJCTT Journal
Volume-25 Number-3
Year of Publication : 2015
Authors : B.Harikrishna, G.Devendar
  10.14445/22312803/IJCTT-V25P128

MLA

B.Harikrishna, G.Devendar "Robust, secure and Optimized Acknowledge based Data Transmission for Wireless Sensor Networks (WSN)". International Journal of Computer Trends and Technology (IJCTT) V25(3):145-148, July 2015. ISSN:2231-2803. www.ijcttjournal.org. Published by Seventh Sense Research Group.

Abstract -
In the era of the Information Technology world, w here Internet plays the important role in mentioning the whole world as the global village. In that aspect Communication medium is the back bone of the system. In the medium of the wireless sensors network where data flows form a source if hub through he routing protocol mechanism is the most important. In this paper, we try to put forward the concept of the Cryptographic key management for the managing the secure data transmission. Extending the support of the protocol where the encryption and decryption methodology plays to give the transmission. The key fact behind this paper is try give the extension to the classical mechanism where the optimization is not up to the mark of satisfaction. Here we consider the each and every node and its associated hub to attach to the parent node which we maintain the security sand optimization in the map reduced programming.

References
[1] A. Doria, M. Uden, and D. P. Pandey, Providing connectivity to the saaminomadic community, in Proceedings of the 2nd International Conference onOpen Collaborative Design for Sustainable Innovation (dyd 02), Bangalore, India, Dec 2002.
[2] A. Pentland, R. Fletcher, and A. A. Hasson, A road to universal broadband connectivity, in Proceedings of the 2nd International Conference on Open Collaborative Design for Sustainable Innovation (dyd 02), Bangalore, India, Dec 2002.
[3] G. E. Prescott, S. A. Smith, and K. Moe, Realtime information system technology challenges for NASAs earth science enterprise, in Proceedings of The 20th IEEE RealTime Systems Symposium, Phoenix, Arizona, Dec 1999.
[4] P. Juang, H. Oki, Y. Wang, M. Martonosi, L. S. Peh, and D. Rubenstein, Energyefficient computing for wildlife tracking: design tradeoffs and early experiences with zebranet, in Proceedings of ACM ASPLOS, 2002.
[5] Disruption tolerant networking, http://www.darpa.mil/ato/solicit/DTN/.
[6] J. Ott and D. Kutscher, A disconnectiontolerant transport for drivethruinternet environments, in Proceedings of IEEE INFOCOM, 2005.
[7] G. W. Boehlert, D. P. Costa, D. E. Crocker, P. Green, T. OBrien, S. Levitus, and B. J. Le Boeuf, Autonomous pinniped environmental samplers; using instrumented animals as oceanographic data collectors, Journal of Atmospheric and Oceanic Technology, vol. 18, no. 11, pp. 18821893, 2001, 18 (11).
[8] T. Small and Z. Haas, The shared wireless infostation model a new ad hoc networking paradigm (or where there is a whale, there is a way), in Proceedings of The Fourth ACM International Symposium on Mobile Ad Hoc Networking and Computing (MobiHoc 2003), June 2003, pp. 233244.
[9] K. Fall, A DelayTolerant Network Architecture for Challenged Internets, SIGCOMM, August 2003.
[10] A. Beaufour, M. Leopold, and P. Bonnet, Smarttag based data dissemination, in First ACM International Workshop on Wireless Sensor Networks and Applications (WSNA02), June 2002.
[11] A. Demers, D. Greene, C. Hauser, W. Irish, J. Larson, S. Shenker, H. Sturgis, D. Swinehart, and D. Terry, Epidemic algorithms for replicated database maintenance, in Proceedings of the ACM Symposium on Principles of Distributed Computing, 1987, pp. 112.
[12] W. Vogels, R. V. Renesse, and K. Birman, The power of epidemics: Robust communication for largescale distributed systems, In Proceedings of HotNetsI’02: First Workshop on Hot Topics in Networks, special issue of the ACMSIGCOMM Computer Communication Review, Princeton, NJ. October 2002.
[13] Delay tolerant networking research group, http://www.dtnrg.org.
[14] P. Zhang, C. M. Sadler, S. A. Lyon, and M. Martonosi, Hardware design experiences in zebranet, In Proc. ACM SenSys, pages 227238, 2004.
[15] M. Motani, V. Srinivasan, and P. Nuggehalli, PeopleNet: Engineering a Wireless Virtual Social Network, In Proc. ACM Mobicom, pages 243257, Aug. 2005.
[16] J. Partan, J. Kurose, and B. N. Levine, A Survey of Practical Issues in Underwater Networks, In Proc. ACM WUWNet, pages 1724, Sept. 2006.
[17] A. Maffei, K. Fall, and D. Chayes, Ocean Instrument Internet, In Proc. AGU Ocean Sciences Conf., Feb 2006.

Keywords
Delay-tolerant routing; packet delivery delay distribution; communication cost distribution, Optimized matrix.